Data Engineer

7 days ago

Remote, EMEAMid Level

Responsibilities

Build a reusable Python ingestion framework that replaces legacy Java ETL and makes customer integrations faster.
Develop and maintain real-time streaming and change data capture pipelines between PostgreSQL and Snowflake.
Use LLMs to map customer schemas and reduce manual onboarding and integration work.
Own data pipelines in production, including deployment, monitoring, data quality, recovery, troubleshooting, and secure customer-data handling.

Have 4+ years of data engineering experience building Python and SQL pipelines for complex integrations with unfamiliar sources, inconsistent schemas, and incomplete documentation.
Have hands-on experience with streaming and change data capture, including schema changes, backfills, and failure recovery.
Have production experience with PostgreSQL, Snowflake, cloud infrastructure, and Airflow or similar tools, including deployment, monitoring, and troubleshooting.
Use AI tools daily and have concrete examples of integrating them into workflows to automate tasks and improve development.
Experience with AWS is preferred or ideal.
Experience with dbt and DuckDB is a nice-to-have.
Experience managing infrastructure with Terraform is a nice-to-have.
Familiarity with cross-warehouse data sharing or LLM-assisted data integration is a nice-to-have.

25 days of annual leave.
Private medical insurance.
Competitive salary and benefits package, including company equity.
Opportunity to work with the founding team and shape the data and AI platform in a fast-paced, high-growth environment.

51-200 employees

Nevis is a purpose-built AI platform that helps financial advisors and their teams automate administrative workflows end-to-end.